Volume 23 Issue 5
May  2025
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LI Wentao, GAO Wenjuan, LIU Xinying, WANG Yue, WU Hao. Factors influencing hypertension comorbidity in community-dwelling patients with diabetes based on random forest model[J]. Chinese Journal of General Practice, 2025, 23(5): 742-745. doi: 10.16766/j.cnki.issn.1674-4152.003991
Citation: LI Wentao, GAO Wenjuan, LIU Xinying, WANG Yue, WU Hao. Factors influencing hypertension comorbidity in community-dwelling patients with diabetes based on random forest model[J]. Chinese Journal of General Practice, 2025, 23(5): 742-745. doi: 10.16766/j.cnki.issn.1674-4152.003991
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Factors influencing hypertension comorbidity in community-dwelling patients with diabetes based on random forest model

doi: 10.16766/j.cnki.issn.1674-4152.003991
  • 1.

    School of General Practice and Continuing Education, Capital Medical University, Beijing 100069, China

Funds:

 首2022-2-7052

 2022-1-005

  • Received Date: 2024-09-24
    Available Online: 2025-08-14
    Abstract
  •   Objective  To investigate the current situation of hypertension in community-dwelling patients with diabetes and to analyze its influencing factors, guide personalized health management for patients with diabetes.  Methods  A total of 2 591 health records of diabetes patients registered at the Fangzhuang Community Health Service Center in Fengtai District, Beijing, from January 2023 to January 2024, were included in a cross-sectional survey. Based on random forest model and LASSO regression, the influencing factors associated with hypertension in patients with diabetes were explored.  Results  The prevalence of comorbid hypertension in community-dwelling patients with diabetes was 87.42% (2 265 people). The results of random forest algorithm showed that the lowest error was observed when the lambda (λ) value was 0.003 9, corresponding to eight key influencing factors. The were TG/HDL-C, estimated glomerular filtration rate (eGFR), BMI, fasting blood glucose, age, duration of diabetes, systolic blood pressure, and education background. The results of the multivariate stepwise regression analysis indicated that eGFR (OR=0.980, 95% CI: 0.969-0.990), TG/HDL-C (OR=1.083, 95% CI: 1.022-1.147), BMI (24-28 group: OR=1.469, 95% CI: 1.140-1.893; >28 group: OR=2.340, 95% CI: 1.561-3.509), age (>75 years group: OR=1.844, 95% CI: 1.125-3.021), and systolic blood pressure (OR=1.053, 95% CI: 1.031-1.076) were influencing factors of comorbid hypertension in diabetic patients (P < 0.05).  Conclusion  The prevalence of hypertension was notably high among community-dwelling patients with diabetes. Elevated TG/HDL-C ratio, reduced eGFR, older age, and obesity were significantly associated with increased risk of hypertension. Effective management should include regular monitoring of TG/HDL-C levels, assessment of renal function, and personalized interventions focused on glycemic control, weight management, and health education tailored to the patient' s age and body mass index. This approach can help reduce the risk of hypertension in diabetic patients, decrease their long-term cardiovascular disease burden, and facilitate an upstream shift diabetes management.

     

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    • References(22)
  • [1]
    PENG W, CHEN S, CHEN X, et al. Trends in major non-communicable diseases and related risk factors in China 2002-2019: an analysis of nationally representative survey data[J]. Lancet Reg Health West Pac, 2023, 43: 100809. DOI: 10.1016/j.lanwpc.2023.100809.
    [2]
    WANG L, PENG W, ZHAO Z, et al. Prevalence and treatment of diabetes in China, 2013-2018[J]. JAMA, 2021, 326(24): 2498-2506.
    [3]
    KIM H J, KIM K I. Blood pressure target in type 2 diabetes mellitus[J]. Diabetes Metab J, 2022, 46(5): 667-674.
    [4]
    KAMALUMPUNDI V, SHAMS E, TUCKER C, et al. Mechanisms and pharmacotherapy of hypertension associated with type 2 diabetes[J]. Biochem Pharmacol, 2022, 206: 115304. DOI: 10.1016/j.bcp.2022.115304.
    [5]
    王烁珊, 吴敬国, 荆小莉, 等. 甘油三酯葡萄糖指数与冠状动脉粥样硬化性心脏病关系的研究进展[J]. 中华全科医学, 2021, 19(6): 1008-1012. doi: 10.16766/j.cnki.issn.1674-4152.001972

    WANG S S, WU J G, JING X L, et al. Research progress of triglyceride glucose index in coronary atherosclerotic heart disease[J]. Chinese Journal of General Practice, 2021, 19(6): 1008-1012. doi: 10.16766/j.cnki.issn.1674-4152.001972
    [6]
    WANG Z, YANG T, FU H. Prevalence of diabetes and hypertension and their interaction effects on cardio-cerebrovascular diseases: a cross-sectional study[J]. BMC Public Health, 2021, 21(1): 1224.
    [7]
    LI Y, SUN X, WEI J, et al. Time trends in comorbidity and management of hypertension and self-reported diabetes: a 15-year nationwide longitudinal study in China[J]. Am J Hypertens, 2021, 34(8): 810-820.
    [8]
    中华医学会糖尿病学分会. 中国2型糖尿病防治指南(2020年版)(上)[J]. 中国实用内科杂志, 2021, 41(8): 668-695.

    Diabetes Society of Chinese Medical Association. Guideline for the prevention and treatment of type 2 diabetes mellitus in China(2020 edition)(Part 1)[J]. Chinese Journal of Practical Internal Medicine, 2021, 41(8): 668-695.
    [9]
    UNGER T, BORGHI C, CHARCHAR F, et al. 2020 International society of hypertension global hypertension practice guidelines[J]. Hypertension, 2020, 75(6): 1334-1357.
    [10]
    ZOU L X, SUN L, NICHOLAS S B, et al. Comparison of bias and accuracy using cystatin C and creatinine in CKD-EPI equations for GFR estimation[J]. Eur J Intern Med, 2020, 80: 29-34. DOI: 10.1016/j.ejim.2020.04.044.
    [11]
    LIU H, YAN S, CHEN G, et al. Association of the ratio of triglycerides to high-density lipoprotein cholesterol levels with the risk of type 2 dabetes: a retrospective cohort study in Beijing[J]. J Diabetes Res, 2021, 2021: 552472 8. DOI: 10.1155/2021/5524728.
    [12]
    QIAN T, SHENG X, SHEN P, et al. Mets-IR as a predictor of cardiovascular events in the middle-aged and elderly population and mediator role of blood lipids[J]. Front Endocrinol(Lausanne), 2023, 14: 1224967. DOI: 10.3389/fendo.2023.1224967.
    [13]
    BAE J H, HAN K D, KO S H, et al. Diabetes fact sheet in Korea 2021[J]. Diabetes Metab J, 2022, 46(3): 417-426.
    [14]
    MUNTNER P, WHELTON P K, WOODWARD M, et al. A comparison of the 2017 American College of Cardiology/American Heart Association Blood Pressure Guideline and the 2017 American Diabetes Association Diabetes and hpertension position satement for U.S. A dults with diabetes[J]. Diabetes Care, 2018, 41(11): 2322-2329.
    [15]
    ZHANG W, HUO W, HU H, et al. Dose-response associations of triglyceride to high-density lipoprotein cholesterol ratio and triglyceride-glucose index with arterial stiffness risk[J]. Lipids Health Dis, 2024, 23(1): 115.
    [16]
    CHE B, ZHONG C, ZHANG R, et al. Triglyceride-glucose index and triglyceride to high-density lipoprotein cholesterol ratio as potential cardiovascular disease risk factors: an analysis of UK biobank data[J]. Cardiovasc Diabetol, 2023, 22(1): 34.
    [17]
    DEMIR S, NAWROTH PP, HERZIG S, EKIM VSTVNEL B. Emerging targets in type 2 diabetes and diabetic complications[J]. Adv Sci(Weinh), 2021, 8(18): e2100275. DOI: 10.1002/advs.202100275.
    [18]
    WANG T, LU J, SHI L, et al. China Cardiometabolic Disease and Cancer Cohort Study Group. Association of insulin resistance and β-cell dysfunction with incident diabetes among adults in China: a nationwide, population-based, prospective cohort study[J]. Lancet Diabetes Endocrinol, 2020, 8(2): 115-124.
    [19]
    YANG T, LIU Y, LI L, et al. Correlation between the triglyceride-to-high-density lipoprotein cholesterol ratio and other unconventional lipid parameters with the risk of prediabetes and Type 2 diabetes in patients with coronary heart disease: a RCSCD-TCM study in China[J]. Cardiovasc Diabetol, 2022;21(1): 93.
    [20]
    SHAHWAN M J, GACEM S A, ZAIDI S K. Prevalence of diabetic nephropathy and associated risk factors among type 2 diabetes mellitus patients in Ramallah, Palestine[J]. Diabetes Metab Syndr, 2019, 13(2): 1491-1496.
    [21]
    USUI I. Common metabolic features of hypertension and type 2 diabetes[J]. Hypertens Res, 2023, 46(5): 1227-1233.
    [22]
    YANG J, WANG X, JIANG S. Development and validation of a nomogram model for individualized prediction of hypertension risk in patients with type 2 diabetes mellitus[J]. Sci Rep, 2023, 13(1): 1298.
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